Hermeneutika Komputasional: Analisis Sentimen Al-Baqarah Berbasis NLP dan Integrasi N8N
DOI:
https://doi.org/10.58438/alkarima.v10i2.649Keywords:
Hermeneutika Komputasional, Natural Language Processing, Otomatisasi N8N, Sentimen Frasa, Tafsir DigitalAbstract
Disrupsi teknologi kecerdasan buatan menuntut reorientasi metodologis dalam kajian tafsir Al-Qur’an kontemporer. Penelitian ini bertujuan mengkaji hermeneutika komputasional sebagai instrumen bantu untuk memetakan sentimen leksikal dalam Surat Al-Baqarah melalui Natural Language Processing (NLP) dan otomasi alur kerja berbasis N8N yang diintegrasikan dengan chatbot Telegram. Analisis dilakukan terhadap 150 frasa leksikal yang dipilih dari Surat Al-Baqarah dan diuji melalui polaritas sentimen komputasional. Luaran mesin kemudian dibandingkan dengan tiga tolok ukur komparatif tafsir otoritatif yang mewakili corak penafsiran berbeda, yaitu Ibnu Katsir, Al-Qurthubi, dan M. Quraish Shihab. Artikel ini juga mengoperasionalkan model validasi triadik dengan menempatkan luaran NLP sebagai data komputasional, literatur tafsir sebagai kalibrasi interpretatif, dan maqashid syariah sebagai koreksi teleologis. Perbandingan terhadap ketiga tolok ukur tafsir tersebut menghasilkan tingkat kesesuaian sebesar 52%–62%. Temuan ini mengindikasikan bahwa NLP dapat membantu mengidentifikasi pola sentimen leksikal, tetapi tetap memiliki keterbatasan ketika berhadapan dengan ayat-ayat preskriptif (ayat al-ahkam), konsep teologis, dan makna yang bergantung pada konteks. Oleh karena itu, hermeneutika komputasional tidak dapat diposisikan sebagai pengganti otoritas tafsir, melainkan sebagai instrumen verifikasi komplementer yang luaran datanya perlu dikalibrasi melalui literatur tafsir, asbabun nuzul, dan maqashid syariah. Artikel ini berkontribusi pada kajian tafsir digital dengan menunjukkan potensi sekaligus batas epistemologis pembacaan algoritmik terhadap teks suci.
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References
Adhantoro, Muhammad Syahriandi, Dedi Gunawan, Harun Joko Prayitno, et al. "Strategic Technological Innovation through ChatMu: Transforming Information Accessibility in Muhammadiyah." Frontiers in Artificial Intelligence (February 2025). https://doi.org/10.3389/frai.2025.1537064.
Afifah, Amalia Naim, Ahmad Nurrohim, Kharis Nugroho, Yeti Dahliana, and Andri Nirwana AN. "Transformation of Al-Quran Interpretation in the Digital Era: A Comparative Analysis Study of Altafsir.com and Al-Quran Al-Hadi." al-Afkar: Journal for Islamic Studies 8, no. 1 (2025): 451–468.
Akmal, Nur Ahmadi, Rasyad, Cut Intan Salasiyah, Fakhrurrazi M. Yunus, and Khairiah Syahabuddin. “Artificial Intelligence in Islamic Fatwa: A Maqasid Al-Shariah and Hadith Perspective.” Jurnal Ilmiah Al Mu’ashirah 23, no. 1 (2026): 2599–2619. https://doi.org/10.22373/jim.v23i1.33789.
Al-Jabiri, Mohammed Abed. Fahm Al-Qur’an: Al-Tafsir Al-Wadih Hasab Tartib Al-Nuzul. Beirut: Markaz Dirasat al-Wahdah al-Arabiyyah, 2008.
Al-Qurthubi, Abu ’Abdillah Muhammad ibn Ahmad. Al-Jami’ li Ahkam Al-Qur’an. Kairo: Dar al-Kutub al-Mishriyyah, 1964.
Al-Zuhayli, Wahbah. Al-Fiqh Al-Islami wa Adillatuh. Damaskus: Dar al-Fikr, 1985.
Al-Zuhayli, Wahbah. Al-Tafsir Al-Munir. Damaskus: Dar al-Fikr, 1991.
Berry, David M., and Anders Fagerjord. Digital Humanities: Knowledge and Critique in a Digital Age. Cambridge: Polity Press, 2017.
Bing Liu. Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. 2nd ed. Cambridge: Cambridge University Press, 2020.
Broussard, Meredith. More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. Cambridge, MA: MIT Press, 2023.
Bunt, Gary. Hashtag Islam: How Cyber-Islamic Environments Are Transforming Religious Authority. Chapel Hill: University of North Carolina Press, 2018.
Creswell, John W., and Vicki L. Plano Clark. Designing and Conducting Mixed Methods Research. 3rd ed. Thousand Oaks, CA: SAGE, 2018.
Ess, Charles Melvin. “Viewpoint: At the Intersections of Information, Computing and Internet Research.” Journal of Information, Communication and Ethics in Society (2020). https://doi.org/10.1108/JICES-01-2020-0001.
Floridi, Luciano. The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Oxford: Oxford University Press, 2023.
Gunawan, Dedi, Salsabil Nuuril Awwal, and Faishal Nur Haidar Afif. "Sentiment Analysis of Personal Data Protection and Privacy Law in Indonesia Using Multinomial Naive Bayes Algorithm." In Proceedings of the International Conference on Smart Computing, IoT and Machine Learning (SIML). IEEE, 2025, 29–33. https://doi.org/10.1109/SIML64826.2025.10999178.
Gunawan, Dedi. "Classification of Privacy Preserving Data Mining Algorithms: A Review." Jurnal Elektronika dan Telekomunikasi 20, no. 2 (December 2020): 72–79. https://doi.org/10.14203/jet.v20.72-79.
Gutiérrez, José Luis Molina. “On Actor-Network Theory and Algorithms: ChatGPT and the New Power Relationships in the Age of AI.” AI and Ethics 4, no. 4 (2024): 1071–1084. https://doi.org/10.1007/s43681-023-00314-4.
Hakak, Saqib, Amirrudin Kamsin, Mohd. Yamani Idna Idris, Shivakumara Palaiahnakote, Khir Zuhaili, and Omar Tyan. “Approaches for Quranic Text Processing: A Review.” International Journal of Computer Applications 149, no. 2 (2016): 33–35.
Huzaifa, Muhammad, Bashir Aqil, M. Azmi Haq, and Wajdi Zaghouani. “Arabic Natural Language Processing for Qur’anic Research: A Systematic Review.” Artificial Intelligence Review 56 (2023). https://doi.org/10.1007/s10462-022-10313-2.
Ibn ‘Ashur, Muhammad al-Tahir. Tafsir Al-Tahrir wa Al-Tanwir. Tunis: Dar Sahnun li al-Nashr wa al-Tawzi’, 1997.
Ibn Kathir, Isma’il ibn Umar. Tafsir Al-Qur’an Al-’Azim. Beirut: Dar Ibn Hazm, 2000.
Jurafsky, Dan, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. 3rd ed. draft. Stanford, CA: Stanford University, 2023.
Krippendorff, Klaus. Content Analysis: An Introduction to Its Methodology. 4th ed. Thousand Oaks, CA: SAGE, 2019.
Luthfiana and Dedi Gunawan. "Analisis Sentimen Pengguna X terhadap IKN Menggunakan Word2Vec dan IndoBERT." Jurnal Sistem Komputer dan Informatika (JSON) (March 2026). https://doi.org/10.30865/json.v8i3.9274.
n8n GmbH. n8n Documentation: Workflow Automation Platform. Berlin: n8n GmbH, 2023. https://docs.n8n.io.
Nasution, Muhammad Badrun Alhafidh, Herlina Yunita Amroin, Afifah Nur Azmi, Jannati Ayu Mustika, Ummi Maghfiroh, and Naiyla Syifa Multazamiah. “The Significance of the Quranic Language as a Fundamental Concept of Semantics: An Analysis of Toshihiko Izutsu’s Thought.” QURANICA, International Journal of Quranic Research 15, no. 1 (2023): 1–21.
Nirwana AN, Andri, Mahmudulhassan, Muthoifin, Waston, and A. R. B. S. Senathirajah. "The Intersection of Quranic Studies and Modern Technology: A Bibliometric Analysis of Academic Publications from 2000 to 2024." Qubahan Academic Journal 4, no. 4 (2024): 178–190. https://doi.org/10.48161/qaj.v4n4a981.
Nirwana AN, Andri. Tafsir Digital: Revolutionizing the Interpretation of Islamic Texts. Pre-print. SSRN, June 10, 2024. https://doi.org/10.2139/ssrn.4860009.
Palinkas, Lawrence A., Sarah M. Horwitz, Carla A. Green, Jennifer P. Wisdom, Naihua Duan, and Kimberly Hoagwood. “Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.” Administration and Policy in Mental Health and Mental Health Services Research 42, no. 5 (2015): 533–544. https://doi.org/10.1007/s10488-013-0528-y.
Pariser, Eli. The Filter Bubble: What the Internet Is Hiding from You. New York: Penguin Press, 2011.
Powell, Emilia Justyna. Islamic Law and International Law: Peaceful Settlement of Disputes. Oxford: Oxford University Press, 2020.
Rahmawati, Dewi, Mohamed Sharei Abouzeid, Andri Nirwana AN, and Syamsul Hidayat. "Investigating Online Quran Interpretation: Methods and Sources on Muslimah.or.id and Its Contribution to Online Islamic Discourse." QiST: Journal of Quran and Tafseer Studies 4, no. 1 (2025): 76–92.
Rochmawati, Nur Anis, and Ahmad Muwafiq. “Hermeneutika Fazlur Rahman: Double Movement dalam Penafsiran Al-Qur’an.” Al-Qorni Jurnal Ilmu Alqur’an dan Tafsir 9, no. 1 (2024): 33–47.
Sawalha, Majdi, Faisal Al-shargi, Sane Yagi, and Lubna R. Al-ogaili. “Morphologically-Analyzed and Syntactically-Annotated Quran Dataset.” Data in Brief 58 (2025): 111211. https://doi.org/10.1016/j.dib.2024.111211.
Shihab, M. Quraish. Tafsir Al-Mishbah: Pesan, Kesan, dan Keserasian Al-Qur’an. Jakarta: Lentera Hati, 2002.
Shohoud, Yasser, Maged Shoman, and Sarah Abdelazim. “Quranic Conversations: Developing a Semantic Search Tool for the Quran Using Arabic NLP Techniques.” ArXiv (2023).
Sokolova, Marina, and Guy Lapalme. “A Systematic Analysis of Performance Measures for Classification Tasks.” Information Processing & Management 45, no. 4 (2009): 427–437. https://doi.org/10.1016/j.ipm.2009.03.002.
Yarkoni, Tal, Dean Eckles, and James A. J. Heathers. “Enhancing and Accelerating Social Science via Automation: Challenges and Opportunities.” Harvard Data Science Review (2021). https://doi.org/10.1162/99608f92.df2262f5.
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Copyright (c) 2026 Dwinuryudha Ken Rifqi, Muhammad Irfan, Dedi Gunawan, Andri Nirwana
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